On Static and Adaptive Policies for Chance-Constrained Voltage Regulation

被引:0
|
作者
Ayyagari, Krishna Sandeep [1 ]
Gatsis, Nikolaos [1 ]
Taha, Ahmad F. [1 ]
Dong, Bing [2 ]
机构
[1] Univ Texas San Antonio, Dept Elect & Comp Engn, San Antonio, TX 78249 USA
[2] Univ Texas San Antonio, Dept Mech Engn, San Antonio, TX USA
基金
美国国家科学基金会;
关键词
Affine policy; chance constraints; distributed energy resources; voltage regulation; conditional value; OPTIMAL POWER-FLOW; REACTIVE POWER; DISTRIBUTION-SYSTEMS; DECISION; RISK;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Electricity distribution networks are envisioned to host an increasing number of photovoltaic (PV) generators. PI/units are equipped with inverters that can inject or absorb reactive power, a capability that can be crucial for supporting safe nodal voltages. Inverter set points are designed as solutions of optimal power flow formulations with specifications on the probability that nodal voltages remain within safe bounds. This paper compares various designs for chance-constrained voltage regulation. Due to their inherent nonconvexity, chance constraints are replaced by the conditional-value-at-risk, which offers a conservative convex approximation. The focus is on designs that yield static reactive power control policies or policies that can control the reactive power in a fashion adaptive to the uncertain renewable energy production and load consumption.
引用
收藏
页码:1858 / 1862
页数:5
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